Saddlepoint approximation for the least squares estimator in first-order autoregression

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Abstract

SUMMARY: Phillips (1978) extended Daniels' (1956) approximation to the density of a modified correlation coefficient to obtain a saddlepoint approximation to the density of the least squares estimator in the first order noncircular autoregression. The resulting approximation is undefined in a substantial part of the tails. In this note, we establish that asuitable deformation of the contour of integration leads to a different type of saddlepoint approximation defined everywhere on the support of the density. The relative error of this approximation is bounded in the extreme tails.

Original languageEnglish
Pages (from-to)807-811
Number of pages5
JournalBiometrika
Volume81
Issue number4
DOIs
StatePublished - Dec 1994
Externally publishedYes

Keywords

  • Autoregression
  • Branch point
  • Quadratic form
  • Saddlepoint approximation

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